Vitality Evaluation of Logistics Port Based on the Partial Order Set

DOI

10.2991/978-94-6463-256-9_99How to use a DOI?

Keywords

Port logistics; Partial ordering set; Weight; Evaluation

Abstract

In order to effectively evaluate the logistics vitality of twelve ports in the downstream area of the Yangtze River, a port logistics vitality evaluation index system was constructed, including four aspects: facilities, operation scale, and economic and information technology capabilities. The partial order set evaluation model was applied to evaluate the logistics port vitality downstream of the Yangtze River. The feature of this model is that it does not require precise weight values, but only needs to know the weight order of the evaluation indicators. The weight order information of the evaluation indicators was extracted by the entropy weight method, and the Hasse diagram was used to display the model effect. By comparing the advantages and disadvantages of different ports, this method can provide a scientific basis for evaluating port logistics vitality, optimizing logistics layout, and improving port economic benefits, bringing new opportunities and challenges for logistics development. The research shows that this method is feasible and effective, and the results are more accurate.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rui Wang
AU  - Lizhu Yue
PY  - 2023
DA  - 2023/10/09
TI  - Vitality Evaluation of Logistics Port Based on the Partial Order Set
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 1012
EP  - 1019
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_99
DO  - 10.2991/978-94-6463-256-9_99
ID  - Wang2023
ER  -